Branch workaround for RStudio image BuildConfig definition

Environment

• OpenShift AI
  • 2.8.0
  • 2.8.1
  • 2.8.2
  • 2.8.3

This issue is resolved from OpenShift AI version 2.8.4.

Issue

The definition of the RStudio BuildConfig file points to the wrong branch in OpenShift AI. Instead of main it should point to rhoai-2.8.

To use the RStudio and CUDA - RStudio workbench images in OpenShift AI, complete the following workaround steps before performing the manual build steps described in This content is not included.Building the RStudio Server notebook images.

As a prerequisite to performing the steps in this workaround, ensure that you have installed the OpenShift command-line interface (CLI). For more information about installing the OpenShift command-line interface (CLI), see This page is not included, but the link has been rewritten to point to the nearest parent document.Getting started with the OpenShift CLI.

Resolution

1. Open a command-line terminal and log in to your OpenShift cluster:

$ oc login

2. Create a new, empty directory.
3. Within the directory that you created in the previous step, create a new YAML file, and paste the following content into the file:

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
  - https://raw.githubusercontent.com/red-hat-data-services/notebooks/rhoai-2.8/manifests/base/rstudio-buildconfig.yaml
  - https://raw.githubusercontent.com/red-hat-data-services/notebooks/rhoai-2.8/manifests/base/cuda-rstudio-buildconfig.yaml
namespace: redhat-ods-applications
patches:
  - patch: |-
      kind: ImageStream
      apiVersion: image.openshift.io/v1
      metadata:
        annotations:
          opendatahub.io/notebook-image-url: https://github.com/red-hat-data-services/notebooks/tree/rhoai-2.8/rstudio
        name: rstudio-rhel9-rhoai28
    target:
      kind: ImageStream
      name: rstudio-rhel9
    options:
      allowNameChange: true
  - patch: |-
      kind: ImageStream
      apiVersion: image.openshift.io/v1
      metadata:
        name: cuda-rhel9-rhoai28
    target:
      kind: ImageStream
      name: cuda-rhel9
    options:
      allowNameChange: true
  - patch: |-
      kind: ImageStream
      apiVersion: image.openshift.io/v1
      metadata:
        annotations:
          opendatahub.io/notebook-image-url: https://github.com/red-hat-data-services/notebooks/tree/rhoai-2.8/rstudio
        name: cuda-rstudio-rhel9-rhoai28
    target:
      kind: ImageStream
      name: cuda-rstudio-rhel9
    options:
      allowNameChange: true
  - patch: |-
      kind: BuildConfig
      apiVersion: build.openshift.io/v1
      metadata:
        name: rstudio-server-rhel9-rhoai28
      spec:
        source:
          git:
            ref: rhoai-2.8
        output:
          to:
            name: "rstudio-rhel9-rhoai28:latest"
    target:
      kind: BuildConfig
      name: rstudio-server-rhel9
    options:
      allowNameChange: true
  - patch: |-
      kind: BuildConfig
      apiVersion: build.openshift.io/v1
      metadata:
        name: cuda-rhel9-rhoai28
        labels:
          app: buildchain-rhoai28
          component: cuda-rhel9-rhoai28
      spec:
        source:
          git:
            ref: rhoai-2.8
        output:
          to:
            name: "cuda-rhel9-rhoai28:latest"
    target:
      kind: BuildConfig
      name: cuda-rhel9
    options:
      allowNameChange: true
  - patch: |-
      kind: BuildConfig
      apiVersion: build.openshift.io/v1
      metadata:
        name: cuda-rstudio-server-rhel9-rhoai28
        labels:
          app: buildchain-rhoai28
          component: cuda-rstudio-server-image-rhoai28
      spec:
        source:
          git:
            ref: rhoai-2.8
        strategy:
          dockerStrategy:
            from:
              name: "cuda-rhel9-rhoai28:latest"
        output:
          to:
            name: "cuda-rstudio-rhel9-rhoai28:latest"
    target:
      kind: BuildConfig
      name: cuda-rstudio-server-rhel9
    options:
      allowNameChange: true

4. Save the file inside the directory that you created with the name kustomization.yaml.
5. In your command-line terminal, change to the directory that you created.
6. Run the following command to process the YAML file:

$ oc kustomize --output rstudio-rhoai28.yaml

7. Review rstudio-rhoai28.yaml and apply it to the cluster using the following command:

$ oc apply -f rstudio-rhoai28.yaml

After these workaround steps are complete, you can perform the manual build steps as described in This content is not included.Building the RStudio Server notebook images.

To verify that you have successfully applied rstudio-rhoai28.yaml to the cluster, start the RStudio Server notebook image and click Help -> About RStudio in the user interface. Confirm that the following message is displayed in the dialog:

RStudio 2023.06.1+524 "Mountain Hydrangea" Release (547dcf861cac0253a8abb52c135e44e02ba407a1, 2023-07-07) for RHEL 9

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